diff --git a/docs/cli/onboard.md b/docs/cli/onboard.md
index fd7c130382..1fa2e5766d 100644
--- a/docs/cli/onboard.md
+++ b/docs/cli/onboard.md
@@ -31,8 +31,8 @@ Flow notes:
 - `quickstart`: minimal prompts, auto-generates a gateway token.
 - `manual`: full prompts for port/bind/auth (alias of `advanced`).
 - Fastest first chat: `openclaw dashboard` (Control UI, no channel setup).
-- Custom API Endpoint: choose OpenAI-compatible or Anthropic-compatible endpoints
-  for self-hosted servers.
+- Custom API Endpoint: connect any OpenAI or Anthropic compatible endpoint,
+  including hosted providers not listed. Use Unknown to auto-detect.
 
 ## Common follow-up commands
 
diff --git a/docs/start/onboarding-overview.md b/docs/start/onboarding-overview.md
index b7b21606b5..dd91333880 100644
--- a/docs/start/onboarding-overview.md
+++ b/docs/start/onboarding-overview.md
@@ -39,11 +39,12 @@ Use the OpenClaw app when you want a fully guided setup on macOS. Docs:
 
 ## Custom API Endpoint
 
-If you run your own model server, choose **Custom API Endpoint** in the CLI
-wizard. You will be asked to:
+If you need an endpoint that is not listed, including hosted providers that
+expose standard OpenAI or Anthropic APIs, choose **Custom API Endpoint** in the
+CLI wizard. You will be asked to:
 
-- Pick OpenAI-compatible or Anthropic-compatible endpoints.
-- Enter a base URL and optional API key.
+- Pick OpenAI-compatible, Anthropic-compatible, or **Unknown** (auto-detect).
+- Enter a base URL and API key (if required by the provider).
 - Provide a model ID and optional alias.
 - Choose an Endpoint ID so multiple custom endpoints can coexist.
 
diff --git a/docs/start/wizard.md b/docs/start/wizard.md
index 3f7d380d7b..31adb175aa 100644
--- a/docs/start/wizard.md
+++ b/docs/start/wizard.md
@@ -63,7 +63,7 @@ The wizard starts with **QuickStart** (defaults) vs **Advanced** (full control).
 **Local mode (default)** walks you through these steps:
 
 1. **Model/Auth** — Anthropic API key (recommended), OpenAI, or Custom API Endpoint
-   (OpenAI-compatible or Anthropic-compatible). Pick a default model.
+   (OpenAI-compatible, Anthropic-compatible, or Unknown auto-detect). Pick a default model.
 2. **Workspace** — Location for agent files (default `~/.openclaw/workspace`). Seeds bootstrap files.
 3. **Gateway** — Port, bind address, auth mode, Tailscale exposure.
 4. **Channels** — WhatsApp, Telegram, Discord, Google Chat, Mattermost, Signal, BlueBubbles, or iMessage.
diff --git a/src/commands/auth-choice-options.ts b/src/commands/auth-choice-options.ts
index 5e0ff1bfd5..6c710521f8 100644
--- a/src/commands/auth-choice-options.ts
+++ b/src/commands/auth-choice-options.ts
@@ -152,7 +152,7 @@ const AUTH_CHOICE_GROUP_DEFS: {
   {
     value: "custom",
     label: "Custom API Endpoint",
-    hint: "Ollama, OpenAI/Anthropic-compatible endpoints",
+    hint: "Any OpenAI or Anthropic compatible endpoint",
     choices: ["custom-api-key"],
   },
 ];
diff --git a/src/commands/onboard-custom.test.ts b/src/commands/onboard-custom.test.ts
index e8d59a1f37..cceaa705a3 100644
--- a/src/commands/onboard-custom.test.ts
+++ b/src/commands/onboard-custom.test.ts
@@ -95,6 +95,99 @@ describe("promptCustomApiConfig", () => {
     expect(prompter.confirm).toHaveBeenCalled();
   });
 
+  it("detects openai compatibility when unknown", async () => {
+    const prompter = {
+      text: vi
+        .fn()
+        .mockResolvedValueOnce("https://example.com/v1") // Base URL
+        .mockResolvedValueOnce("test-key") // API Key
+        .mockResolvedValueOnce("detected-model") // Model ID
+        .mockResolvedValueOnce("custom") // Endpoint ID
+        .mockResolvedValueOnce("alias"), // Alias
+      progress: vi.fn(() => ({
+        update: vi.fn(),
+        stop: vi.fn(),
+      })),
+      select: vi.fn().mockResolvedValueOnce("unknown"),
+      confirm: vi.fn(),
+      note: vi.fn(),
+    };
+
+    vi.stubGlobal(
+      "fetch",
+      vi
+        .fn()
+        .mockResolvedValueOnce({
+          ok: true,
+          json: async () => ({ data: [] }),
+        })
+        .mockResolvedValueOnce({
+          ok: true,
+          json: async () => ({}),
+        }),
+    );
+
+    const result = await promptCustomApiConfig({
+      prompter: prompter as unknown as Parameters<typeof promptCustomApiConfig>[0]["prompter"],
+      runtime: { ...defaultRuntime, log: vi.fn() },
+      config: {},
+    });
+
+    expect(prompter.text).toHaveBeenCalledTimes(5);
+    expect(prompter.select).toHaveBeenCalledTimes(1);
+    expect(result.config.models?.providers?.custom?.api).toBe("openai-completions");
+  });
+
+  it("re-prompts base url when unknown detection fails", async () => {
+    const prompter = {
+      text: vi
+        .fn()
+        .mockResolvedValueOnce("https://bad.example.com/v1") // Base URL #1
+        .mockResolvedValueOnce("bad-key") // API Key #1
+        .mockResolvedValueOnce("bad-model") // Model ID #1
+        .mockResolvedValueOnce("https://ok.example.com/v1") // Base URL #2
+        .mockResolvedValueOnce("ok-key") // API Key #2
+        .mockResolvedValueOnce("ok-model") // Model ID #2
+        .mockResolvedValueOnce("custom") // Endpoint ID
+        .mockResolvedValueOnce(""), // Alias
+      progress: vi.fn(() => ({
+        update: vi.fn(),
+        stop: vi.fn(),
+      })),
+      select: vi.fn().mockResolvedValueOnce("unknown"),
+      confirm: vi.fn(),
+      note: vi.fn(),
+    };
+
+    vi.stubGlobal(
+      "fetch",
+      vi
+        .fn()
+        .mockResolvedValueOnce({
+          ok: true,
+          json: async () => ({ data: [] }),
+        })
+        .mockResolvedValueOnce({ ok: false, status: 404, json: async () => ({}) })
+        .mockResolvedValueOnce({ ok: false, status: 404, json: async () => ({}) })
+        .mockResolvedValueOnce({
+          ok: true,
+          json: async () => ({ data: [] }),
+        })
+        .mockResolvedValueOnce({ ok: true, json: async () => ({}) }),
+    );
+
+    await promptCustomApiConfig({
+      prompter: prompter as unknown as Parameters<typeof promptCustomApiConfig>[0]["prompter"],
+      runtime: { ...defaultRuntime, log: vi.fn() },
+      config: {},
+    });
+
+    expect(prompter.note).toHaveBeenCalledWith(
+      expect.stringContaining("did not respond"),
+      "Endpoint detection",
+    );
+  });
+
   it("renames provider id when baseUrl differs", async () => {
     const prompter = {
       text: vi
diff --git a/src/commands/onboard-custom.ts b/src/commands/onboard-custom.ts
index 435ae50e8f..20bd19190a 100644
--- a/src/commands/onboard-custom.ts
+++ b/src/commands/onboard-custom.ts
@@ -15,6 +15,7 @@ const DISCOVERY_TIMEOUT_MS = 5000;
 const VERIFY_TIMEOUT_MS = 10000;
 
 type CustomApiCompatibility = "openai" | "anthropic";
+type CustomApiCompatibilityChoice = CustomApiCompatibility | "unknown";
 type CustomApiResult = {
   config: OpenClawConfig;
   providerId?: string;
@@ -22,10 +23,10 @@ type CustomApiResult = {
 };
 
 const COMPATIBILITY_OPTIONS: Array<{
-  value: CustomApiCompatibility;
+  value: CustomApiCompatibilityChoice;
   label: string;
   hint: string;
-  api: "openai-completions" | "anthropic-messages";
+  api?: "openai-completions" | "anthropic-messages";
 }> = [
   {
     value: "openai",
@@ -39,9 +40,14 @@ const COMPATIBILITY_OPTIONS: Array<{
     hint: "Uses /messages",
     api: "anthropic-messages",
   },
+  {
+    value: "unknown",
+    label: "Unknown (detect automatically)",
+    hint: "Probes OpenAI then Anthropic endpoints",
+  },
 ];
 
-function resolveBaseUrlDefaults(compatibility: CustomApiCompatibility) {
+function resolveBaseUrlDefaults(compatibility: CustomApiCompatibilityChoice) {
   if (compatibility === "anthropic") {
     return {
       initialValue: DEFAULT_ANTHROPIC_BASE_URL,
@@ -124,29 +130,181 @@ function resolveAliasError(params: {
   return `Alias ${normalized} already points to ${existingKey}.`;
 }
 
-export async function promptCustomApiConfig(params: {
-  prompter: WizardPrompter;
-  runtime: RuntimeEnv;
-  config: OpenClawConfig;
-}): Promise<CustomApiResult> {
-  const { prompter, runtime, config } = params;
+function buildOpenAiHeaders(apiKey: string) {
+  const headers: Record<string, string> = {};
+  if (apiKey) {
+    headers.Authorization = `Bearer ${apiKey}`;
+  }
+  return headers;
+}
 
-  const compatibility = await prompter.select({
-    message: "Endpoint compatibility",
-    options: COMPATIBILITY_OPTIONS.map((option) => ({
-      value: option.value,
-      label: option.label,
-      hint: option.hint,
-    })),
+function buildAnthropicHeaders(apiKey: string) {
+  const headers: Record<string, string> = {
+    "anthropic-version": "2023-06-01",
+  };
+  if (apiKey) {
+    headers["x-api-key"] = apiKey;
+  }
+  return headers;
+}
+
+async function fetchWithTimeout(
+  url: string,
+  init: RequestInit,
+  timeoutMs: number,
+): Promise<Response> {
+  const controller = new AbortController();
+  const timeout = setTimeout(() => controller.abort(), timeoutMs);
+  try {
+    return await fetch(url, { ...init, signal: controller.signal });
+  } finally {
+    clearTimeout(timeout);
+  }
+}
+
+function parseOpenAiModels(data: { data?: { id: string }[]; models?: { id: string }[] }) {
+  const rawModels = data.data || data.models || [];
+  return rawModels.map((m: unknown) => {
+    if (typeof m === "string") {
+      return m;
+    }
+    if (typeof m === "object" && m !== null && "id" in m) {
+      return (m as { id: string }).id;
+    }
+    return String(m);
   });
-  const option = COMPATIBILITY_OPTIONS.find((entry) => entry.value === compatibility);
-  const providerApi = option?.api ?? "openai-completions";
+}
 
-  const baseDefaults = resolveBaseUrlDefaults(compatibility);
-  const baseUrlInput = await prompter.text({
+function formatVerificationError(error: unknown): string {
+  if (!error) {
+    return "unknown error";
+  }
+  if (error instanceof Error) {
+    return error.message;
+  }
+  if (typeof error === "string") {
+    return error;
+  }
+  try {
+    return JSON.stringify(error);
+  } catch {
+    return "unknown error";
+  }
+}
+
+async function tryDiscoverOpenAiModels(params: {
+  baseUrl: string;
+  apiKey: string;
+  prompter: WizardPrompter;
+}): Promise<string[] | null> {
+  const { baseUrl, apiKey, prompter } = params;
+  const spinner = prompter.progress("Connecting...");
+  spinner.update(`Scanning models at ${baseUrl}...`);
+  try {
+    const discoveryUrl = new URL("models", baseUrl.endsWith("/") ? baseUrl : `${baseUrl}/`).href;
+    const res = await fetchWithTimeout(
+      discoveryUrl,
+      { headers: buildOpenAiHeaders(apiKey) },
+      DISCOVERY_TIMEOUT_MS,
+    );
+    if (res.ok) {
+      const data = (await res.json()) as { data?: { id: string }[]; models?: { id: string }[] };
+      const models = parseOpenAiModels(data);
+      if (models.length > 0) {
+        spinner.stop(`Found ${models.length} models.`);
+        return models;
+      }
+      spinner.stop("Connected, but no models list returned.");
+      return [];
+    }
+    spinner.stop(`Connection succeeded, but discovery failed (${res.status}).`);
+    return null;
+  } catch {
+    spinner.stop("Could not auto-detect models.");
+    return null;
+  }
+}
+
+type VerificationResult = {
+  ok: boolean;
+  status?: number;
+  error?: unknown;
+};
+
+async function requestOpenAiVerification(params: {
+  baseUrl: string;
+  apiKey: string;
+  modelId: string;
+}): Promise<VerificationResult> {
+  const endpoint = new URL(
+    "chat/completions",
+    params.baseUrl.endsWith("/") ? params.baseUrl : `${params.baseUrl}/`,
+  ).href;
+  try {
+    const res = await fetchWithTimeout(
+      endpoint,
+      {
+        method: "POST",
+        headers: {
+          "Content-Type": "application/json",
+          ...buildOpenAiHeaders(params.apiKey),
+        },
+        body: JSON.stringify({
+          model: params.modelId,
+          messages: [{ role: "user", content: "Hi" }],
+          max_tokens: 5,
+        }),
+      },
+      VERIFY_TIMEOUT_MS,
+    );
+    return { ok: res.ok, status: res.status };
+  } catch (error) {
+    return { ok: false, error };
+  }
+}
+
+async function requestAnthropicVerification(params: {
+  baseUrl: string;
+  apiKey: string;
+  modelId: string;
+}): Promise<VerificationResult> {
+  const endpoint = new URL(
+    "messages",
+    params.baseUrl.endsWith("/") ? params.baseUrl : `${params.baseUrl}/`,
+  ).href;
+  try {
+    const res = await fetchWithTimeout(
+      endpoint,
+      {
+        method: "POST",
+        headers: {
+          "Content-Type": "application/json",
+          ...buildAnthropicHeaders(params.apiKey),
+        },
+        body: JSON.stringify({
+          model: params.modelId,
+          max_tokens: 16,
+          messages: [{ role: "user", content: "Hi" }],
+        }),
+      },
+      VERIFY_TIMEOUT_MS,
+    );
+    return { ok: res.ok, status: res.status };
+  } catch (error) {
+    return { ok: false, error };
+  }
+}
+
+async function promptBaseUrlAndKey(params: {
+  prompter: WizardPrompter;
+  compatibility: CustomApiCompatibilityChoice;
+  initialBaseUrl?: string;
+}): Promise<{ baseUrl: string; apiKey: string }> {
+  const defaults = resolveBaseUrlDefaults(params.compatibility);
+  const baseUrlInput = await params.prompter.text({
     message: "API Base URL",
-    initialValue: baseDefaults.initialValue,
-    placeholder: baseDefaults.placeholder,
+    initialValue: params.initialBaseUrl ?? defaults.initialValue,
+    placeholder: defaults.placeholder,
     validate: (val) => {
       try {
         new URL(val);
@@ -156,14 +314,110 @@ export async function promptCustomApiConfig(params: {
       }
     },
   });
-  const baseUrl = baseUrlInput.trim();
-
-  const apiKeyInput = await prompter.text({
-    message: "API Key (optional for local)",
+  const apiKeyInput = await params.prompter.text({
+    message: "API Key (optional)",
     placeholder: "sk-...",
     initialValue: "",
   });
-  const apiKey = apiKeyInput.trim();
+  return { baseUrl: baseUrlInput.trim(), apiKey: apiKeyInput.trim() };
+}
+
+export async function promptCustomApiConfig(params: {
+  prompter: WizardPrompter;
+  runtime: RuntimeEnv;
+  config: OpenClawConfig;
+}): Promise<CustomApiResult> {
+  const { prompter, runtime, config } = params;
+
+  const compatibilityChoice = await prompter.select({
+    message: "Endpoint compatibility",
+    options: COMPATIBILITY_OPTIONS.map((option) => ({
+      value: option.value,
+      label: option.label,
+      hint: option.hint,
+    })),
+  });
+  let compatibility: CustomApiCompatibility | null =
+    compatibilityChoice === "unknown" ? null : compatibilityChoice;
+  let providerApi =
+    COMPATIBILITY_OPTIONS.find((entry) => entry.value === compatibility)?.api ??
+    "openai-completions";
+  let baseUrl = "";
+  let apiKey = "";
+  let modelId: string | undefined;
+  let discoveredModels: string[] | null = null;
+  let verifiedFromProbe = false;
+
+  if (compatibilityChoice === "unknown") {
+    let lastBaseUrl: string | undefined;
+    while (!compatibility) {
+      const baseInput = await promptBaseUrlAndKey({
+        prompter,
+        compatibility: compatibilityChoice,
+        initialBaseUrl: lastBaseUrl,
+      });
+      baseUrl = baseInput.baseUrl;
+      apiKey = baseInput.apiKey;
+
+      const models = await tryDiscoverOpenAiModels({ baseUrl, apiKey, prompter });
+      if (models && models.length > 0) {
+        compatibility = "openai";
+        providerApi = "openai-completions";
+        discoveredModels = models;
+        break;
+      }
+
+      modelId = (
+        await prompter.text({
+          message: "Model ID",
+          placeholder: "e.g. llama3, claude-3-7-sonnet",
+          validate: (val) => (val.trim() ? undefined : "Model ID is required"),
+        })
+      ).trim();
+
+      const probeSpinner = prompter.progress("Detecting endpoint type...");
+      const openaiProbe = await requestOpenAiVerification({ baseUrl, apiKey, modelId });
+      if (openaiProbe.ok) {
+        probeSpinner.stop("Detected OpenAI-compatible endpoint.");
+        compatibility = "openai";
+        providerApi = "openai-completions";
+        verifiedFromProbe = true;
+        break;
+      }
+
+      const anthropicProbe = await requestAnthropicVerification({ baseUrl, apiKey, modelId });
+      if (anthropicProbe.ok) {
+        probeSpinner.stop("Detected Anthropic-compatible endpoint.");
+        compatibility = "anthropic";
+        providerApi = "anthropic-messages";
+        verifiedFromProbe = true;
+        break;
+      }
+
+      probeSpinner.stop("Could not detect endpoint type.");
+      await prompter.note(
+        "This endpoint did not respond to OpenAI or Anthropic style requests. Enter a new base URL and try again.",
+        "Endpoint detection",
+      );
+      lastBaseUrl = baseUrl;
+      modelId = undefined;
+    }
+  } else {
+    const baseInput = await promptBaseUrlAndKey({
+      prompter,
+      compatibility: compatibilityChoice,
+    });
+    baseUrl = baseInput.baseUrl;
+    apiKey = baseInput.apiKey;
+    compatibility = compatibilityChoice;
+    providerApi =
+      COMPATIBILITY_OPTIONS.find((entry) => entry.value === compatibility)?.api ??
+      "openai-completions";
+  }
+
+  if (!compatibility) {
+    return { config };
+  }
 
   const providers = config.models?.providers ?? {};
   const suggestedId = buildEndpointIdFromUrl(baseUrl);
@@ -192,76 +446,39 @@ export async function promptCustomApiConfig(params: {
   }
   const providerId = providerIdResult.providerId;
 
-  let modelId: string | undefined;
-  if (compatibility === "openai") {
-    const spinner = prompter.progress("Connecting...");
-    spinner.update(`Scanning models at ${baseUrl}...`);
-    try {
-      const discoveryUrl = new URL("models", baseUrl.endsWith("/") ? baseUrl : `${baseUrl}/`).href;
-      const controller = new AbortController();
-      const timeout = setTimeout(() => controller.abort(), DISCOVERY_TIMEOUT_MS);
-
-      const headers: Record<string, string> = {};
-      if (apiKey) {
-        headers.Authorization = `Bearer ${apiKey}`;
-      }
-
-      const res = await fetch(discoveryUrl, {
-        headers,
-        signal: controller.signal,
-      });
-      clearTimeout(timeout);
-
-      if (res.ok) {
-        const data = (await res.json()) as { data?: { id: string }[]; models?: { id: string }[] };
-        const rawModels = data.data || data.models || [];
-        const models = rawModels.map((m: unknown) => {
-          if (typeof m === "string") {
-            return m;
-          }
-          if (typeof m === "object" && m !== null && "id" in m) {
-            return (m as { id: string }).id;
-          }
-          return String(m);
-        });
-
-        if (models.length > 0) {
-          spinner.stop(`Found ${models.length} models.`);
-          const selection = await prompter.select({
-            message: "Select a model",
-            options: [
-              ...models.map((id: string) => ({ value: id, label: id })),
-              { value: "__manual", label: "(Enter manually...)" },
-            ],
-          });
-
-          if (selection !== "__manual") {
-            modelId = selection;
-          }
-        } else {
-          spinner.stop("Connected, but no models list returned.");
-        }
-      } else {
-        spinner.stop(`Connection succeeded, but discovery failed (${res.status}).`);
-      }
-    } catch {
-      spinner.stop("Could not auto-detect models.");
-    }
-  } else {
-    await prompter.note(
-      "Anthropic-compatible endpoints do not expose a standard models endpoint. Please enter a model ID manually.",
-      "Model discovery",
-    );
+  if (compatibility === "openai" && !discoveredModels) {
+    discoveredModels = await tryDiscoverOpenAiModels({ baseUrl, apiKey, prompter });
   }
 
   if (!modelId) {
-    modelId = await prompter.text({
-      message: "Model ID",
-      placeholder: "e.g. llama3, claude-3-7-sonnet",
-      validate: (val) => (val.trim() ? undefined : "Model ID is required"),
-    });
+    if (compatibility === "openai" && discoveredModels && discoveredModels.length > 0) {
+      const selection = await prompter.select({
+        message: "Select a model",
+        options: [
+          ...discoveredModels.map((id) => ({ value: id, label: id })),
+          { value: "__manual", label: "(Enter manually...)" },
+        ],
+      });
+      if (selection !== "__manual") {
+        modelId = selection;
+      }
+    } else if (compatibility === "anthropic") {
+      await prompter.note(
+        "Anthropic-compatible endpoints do not expose a standard models endpoint. Please enter a model ID manually.",
+        "Model discovery",
+      );
+    }
+  }
+
+  if (!modelId) {
+    modelId = (
+      await prompter.text({
+        message: "Model ID",
+        placeholder: "e.g. llama3, claude-3-7-sonnet",
+        validate: (val) => (val.trim() ? undefined : "Model ID is required"),
+      })
+    ).trim();
   }
-  modelId = modelId.trim();
 
   const modelRef = modelKey(providerId, modelId);
   const aliasInput = await prompter.text({
@@ -272,55 +489,21 @@ export async function promptCustomApiConfig(params: {
   });
   const alias = aliasInput.trim();
 
-  const verifySpinner = prompter.progress("Verifying...");
-  let verified = false;
-  try {
-    const endpoint = compatibility === "anthropic" ? "messages" : "chat/completions";
-    const verifyUrl = new URL(endpoint, baseUrl.endsWith("/") ? baseUrl : `${baseUrl}/`).href;
-    const controller = new AbortController();
-    const timeout = setTimeout(() => controller.abort(), VERIFY_TIMEOUT_MS);
-
-    const headers: Record<string, string> = {
-      "Content-Type": "application/json",
-    };
-    if (compatibility === "anthropic") {
-      headers["anthropic-version"] = "2023-06-01";
-      if (apiKey) {
-        headers["x-api-key"] = apiKey;
-      }
-    } else if (apiKey) {
-      headers.Authorization = `Bearer ${apiKey}`;
-    }
-
-    const body =
+  let verified = verifiedFromProbe;
+  if (!verified) {
+    const verifySpinner = prompter.progress("Verifying...");
+    const result =
       compatibility === "anthropic"
-        ? {
-            model: modelId,
-            max_tokens: 16,
-            messages: [{ role: "user", content: "Hi" }],
-          }
-        : {
-            model: modelId,
-            messages: [{ role: "user", content: "Hi" }],
-            max_tokens: 5,
-          };
-
-    const res = await fetch(verifyUrl, {
-      method: "POST",
-      headers,
-      body: JSON.stringify(body),
-      signal: controller.signal,
-    });
-    clearTimeout(timeout);
-
-    if (res.ok) {
+        ? await requestAnthropicVerification({ baseUrl, apiKey, modelId })
+        : await requestOpenAiVerification({ baseUrl, apiKey, modelId });
+    if (result.ok) {
       verified = true;
       verifySpinner.stop("Verification successful.");
+    } else if (result.status !== undefined) {
+      verifySpinner.stop(`Verification failed: status ${result.status}`);
     } else {
-      verifySpinner.stop(`Verification failed: status ${res.status}`);
+      verifySpinner.stop(`Verification failed: ${formatVerificationError(result.error)}`);
     }
-  } catch (err) {
-    verifySpinner.stop(`Verification failed: ${String(err)}`);
   }
 
   if (!verified) {